Montreal Canadiens
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Husky 33-31-9, 75pts	5	Box score	6	CoolFm 37-31-4, 78pts

Team Stats
W1	Streak	L1
19-13-4	Home Record	20-15-2
14-18-5	Home Record	17-16-2
7-2-1	Last 10 Games	7-2-1
3.03	Goals Per Game	3.35
3.33	Goals Against Per Game	3.63
18.36%	Power Play Percentage	16.17%
83.16%	Penalty Kill Percentage	84.28%

Goons
21-37-11, 53pts

Box score

Husky
33-31-9, 75pts

Team Stats
L3	Streak	W1
14-15-7	Home Record	19-13-4
7-22-4	Home Record	14-18-5
4-4-2	Last 10 Games	7-2-1
2.13	Goals Per Game	3.03
2.99	Goals Against Per Game	3.33
14.33%	Power Play Percentage	18.36%
86.01%	Penalty Kill Percentage	83.16%

Chiwawa
34-27-11, 79pts

Day 92

Husky
33-31-9, 75pts

Team Stats
W1	Streak	W1
18-12-6	Home Record	19-13-4
16-15-5	Away Record	14-18-5
8-0-2	Last 10 Games	7-2-1
2.75	Goals Per Game	3.03
3.13	Goals Against Per Game	3.03
15.01%	Power Play Percentage	18.36%
84.47%	Penalty Kill Percentage	83.16%

Husky
33-31-9, 75pts

Day 93

Predateurs
33-29-10, 76pts

Team Stats
W1	Streak	W1
19-13-4	Home Record	19-12-5
14-18-5	Away Record	14-17-5
7-2-1	Last 10 Games	7-1-2
3.03	Goals Per Game	3.08
3.33	Goals Against Per Game	3.08
18.36%	Power Play Percentage	14.91%
83.16%	Penalty Kill Percentage	82.64%

Husky
33-31-9, 75pts

Day 94

Thugs
41-25-4, 86pts

Team Stats
W1	Streak	L1
19-13-4	Home Record	20-14-2
14-18-5	Away Record	21-11-2
7-2-1	Last 10 Games	5-5-0
3.03	Goals Per Game	3.64
3.33	Goals Against Per Game	3.64
18.36%	Power Play Percentage	14.20%
83.16%	Penalty Kill Percentage	86.47%

Team Leaders
	Goals Henri Jokiharju 13		Assists Henri Jokiharju 23

	Points Henri Jokiharju 36	Plus/Minus Nicolas Meloche 1

	Wins Mads Sogaard 3		Save Percentage Mads Sogaard 0.945

Team Stats
Goals For 221 3.03 GFG	Shots For 2185 29.93 Avg	Power Play Percentage 18.4% 65 GF	Offensive Zone Start 39.1%
Goals Against 243 3.33 GAA	Shots Against 2661 36.45 Avg	Penalty Kill Percentage 83.2%% 49 GA	Defensive Zone Start 42.6%

Team Info
	General Manager	René-Karl Poirier
	Coach	Glen Gulutzan
	Division	Division Est
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,994
	Season Tickets	300
Roster Info
	Pro Team	23
	Farm Team	22
	Contract Limit	45 / 50
	Prospects	49

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
Scratches
1	Vasily Podkolzin		X			100.00	99	51	79	82	61	66	99	57	30	56	58	69	67	83	73	0	90	65	0	24	3	2,000,000$
2	Cole Koepke		X			100.00	99	48	89	78	70	56	88	55	30	48	61	71	66	86	74	0	90	64	0	27	5	1,000,000$
3	Pierre Engvall			X		100.00	63	45	88	77	82	59	75	55	30	49	61	55	66	88	77	0	90	61	0	29	5	1,000,000$
4	Marc Gatcomb (R)			X		100.00	99	48	87	79	66	50	47	54	30	42	67	62	66	85	72	0	90	60	0	26	3	900,000$
5	Ryan Winterton (R)	X				100.00	68	45	92	79	56	54	40	47	30	44	50	55	50	81	69	0	90	54	0	22	5	1,000,000$
6	Jayden Halbgewachs		X			100.00	50	45	95	80	60	50	40	45	30	40	50	55	50	86	73	0	90	53	0	28	4	800,000$
7	MacKenzie MacEachern		X			100.00	50	45	95	77	66	50	40	45	30	40	50	55	50	90	77	0	90	53	0	31	5	850,000$
8	Semyon Der-Arguchintsev (R)	X				100.00	50	45	95	79	60	50	40	45	30	40	50	55	50	82	69	0	90	52	0	25	5	800,000$
9	Nikolay Goldobin			X		100.00	50	45	95	76	62	50	40	45	30	40	50	55	50	88	75	0	90	52	0	29	2	800,000$
10	Henri Jokiharju				X	100.00	65	45	89	79	59	74	72	53	30	50	56	72	66	85	77	0	90	65	0	26	3	2,000,000$
11	Erik Gustafsson				X	100.00	56	45	86	84	56	68	72	58	30	62	54	55	67	93	83	0	90	64	0	33	1	1,400,000$
12	Troy Stecher				X	100.00	57	48	84	79	47	58	80	50	30	45	56	65	65	91	79	0	90	62	0	31	2	800,000$
13	Alexander Alexeyev				X	100.00	56	45	95	72	82	67	40	45	30	40	50	60	50	85	75	0	90	60	0	25	3	950,000$
14	Maxwell Crozier (R)				X	100.00	58	45	95	76	64	70	40	45	30	40	50	55	50	84	75	0	90	58	0	25	5	1,000,000$
15	Austin Strand				X	100.00	50	45	95	74	60	50	40	45	30	40	50	55	50	86	74	0	90	56	0	28	4	800,000$
16	Nicolas Meloche				X	100.00	50	45	95	74	60	50	40	45	30	40	50	55	50	86	73	0	90	56	0	28	4	800,000$
17	Brady Keeper				X	100.00	50	45	95	76	60	50	40	45	30	40	50	55	50	87	74	0	90	56	0	28	4	800,000$
18	Victor Mete				X	100.00	50	45	95	77	48	50	40	45	30	40	50	55	50	85	73	0	90	55	0	27	1	850,000$

	TEAM AVERAGE					100.00	62	46	91	78	62	57	54	49	30	44	54	59	56	86	75	0	90	58

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
Scratches
1	Kaapo Kahkonen	100.00	70	50	60	91	70	70	70	70	70	70	70	88	75	0	90	62	0	29	2	1,250,000$
2	Mads Sogaard (R)	100.00	70	50	60	94	70	70	70	70	70	70	70	84	71	0	90	62	0	24	4	900,000$
3	Spencer Martin	100.00	70	50	60	85	70	70	70	70	70	70	70	89	78	0	90	62	0	30	4	900,000$
4	Akira Schmid (R)	100.00	70	50	60	86	70	70	70	70	70	70	70	84	72	0	90	61	0	25	1	1,025,000$
5	Trent Miner (R)	100.00	70	50	60	83	70	70	70	70	70	70	70	83	70	0	90	61	0	24	4	900,000$

	TEAM AVERAGE	100.00	70	50	60	88	70	70	70	70	70	70	70	86	73	0	90	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Glen Gulutzan	65	65	65	65	86	77	68	CAN	55	4	1,000,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Henri Jokiharju	Husky (MTL)	D	49	13	23	36	-16	56	0	88	91	122	31	77	10.66%	79	1144	23.36	9	9	18	76	172	0	0	0	0	136	0	0	35.29%	34	0	0.63	2	5	0	0	7	7	7
2	Maxwell Crozier	Husky (MTL)	D	58	10	12	22	-24	64	10	89	65	62	18	42	16.13%	62	1222	21.08	5	2	7	29	103	0	0	0	0	105	2	1	34.62%	286	0	0.36	1	3	1	1	4	9	6
3	Troy Stecher	Husky (MTL)	D	45	6	14	20	-12	59	5	86	67	83	35	51	7.23%	63	966	21.47	5	9	14	43	141	0	0	0	0	118	0	0	46.67%	15	0	0.41	2	5	0	0	2	4	6
4	Pierre Engvall	Husky (MTL)	RW	26	10	9	19	-7	16	0	36	36	48	19	31	20.83%	9	528	20.32	2	3	5	10	87	0	1	1	1	39	0	1	38.89%	144	0	0.72	0	2	0	0	3	3	2
5	Alexander Alexeyev	Husky (MTL)	D	49	2	15	17	-20	18	0	75	42	74	21	43	2.70%	78	1034	21.11	1	2	3	28	126	0	1	1	2	124	0	0	45.45%	33	0	0.33	0	1	0	0	3	6	4
6	Erik Gustafsson	Husky (MTL)	D	26	4	13	17	-11	14	0	35	38	35	11	29	11.43%	41	608	23.42	1	6	7	18	74	1	0	1	1	49	0	0	40.00%	45	0	0.56	0	2	0	0	5	1	4
7	Austin Strand	Husky (MTL)	D	66	3	13	16	-25	30	0	36	54	57	11	32	5.26%	39	1157	17.53	0	1	1	4	30	0	0	0	1	59	2	0	40.26%	303	0	0.28	0	1	0	0	4	4	3
8	Marc Gatcomb	Husky (MTL)	RW	16	6	9	15	0	12	0	47	29	37	11	26	16.22%	4	296	18.56	3	3	6	5	40	0	1	1	1	16	1	0	45.00%	40	0	1.01	0	1	0	0	4	1	2
9	Semyon Der-Arguchintsev	Husky (MTL)	C	35	2	10	12	-8	2	0	20	68	40	8	27	5.00%	11	628	17.97	0	5	5	6	81	0	0	0	1	71	1	0	40.09%	636	0	0.38	0	2	0	0	3	1	2
10	Vasily Podkolzin	Husky (MTL)	LW	8	2	6	8	0	21	5	25	21	19	3	13	10.53%	2	174	21.75	0	2	2	5	26	0	0	0	0	15	1	0	33.33%	93	0	0.92	0	0	0	1	1	2	0
11	Nikolay Goldobin	Husky (MTL)	RW	37	3	5	8	-11	11	5	21	40	45	12	24	6.67%	6	665	17.98	0	1	1	7	53	0	0	0	0	59	0	0	36.49%	285	0	0.24	0	2	0	1	0	0	6
12	Ryan Winterton	Husky (MTL)	C	21	2	4	6	-8	8	0	36	39	22	5	15	9.09%	6	395	18.83	1	1	2	2	58	0	0	0	0	19	0	0	39.84%	374	0	0.30	0	1	0	0	1	0	1
13	Victor Mete	Husky (MTL)	D	25	3	3	6	-12	8	0	27	30	20	3	7	15.00%	20	371	14.87	0	0	0	1	3	0	0	0	0	0	1	0	40.91%	22	0	0.32	0	0	0	0	2	4	3
14	Brady Keeper	Husky (MTL)	D	20	1	4	5	-6	8	0	10	17	13	5	12	7.69%	21	325	16.30	0	0	0	4	7	0	0	0	0	15	0	1	44.44%	45	0	0.31	0	0	0	0	1	0	1
15	Jayden Halbgewachs	Husky (MTL)	LW	16	0	4	4	-4	6	0	10	28	17	7	7	0%	4	303	18.97	0	0	0	2	16	0	0	0	0	16	0	0	37.93%	145	0	0.26	0	0	0	0	0	1	0
16	Cole Koepke	Husky (MTL)	LW	6	3	1	4	-5	4	0	14	15	14	5	13	21.43%	1	134	22.43	0	1	1	6	16	0	0	0	0	14	0	0	30.77%	13	1	0.59	0	1	0	0	1	0	0
17	Nicolas Meloche	Husky (MTL)	D	14	1	1	2	1	10	0	17	24	11	4	12	9.09%	12	241	17.26	0	0	0	0	0	0	0	0	0	1	0	0	45.19%	135	0	0.17	1	1	0	0	0	1	3
18	MacKenzie MacEachern	Husky (MTL)	LW	8	1	0	1	-5	0	0	7	9	7	0	5	14.29%	1	131	16.49	0	0	0	0	5	0	0	0	0	1	0	0	40.00%	35	0	0.15	0	0	0	0	0	0	0
Team Total or Average				525	72	146	218	-173	347	25	679	713	726	209	466	9.92%	459	10332	19.68	27	45	72	246	1047	1	3	4	7	863	8	3	39.10%	2683	1	0.42	6	27	1	3	41	44	50

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mads Sogaard	Husky (MTL)	6	3	2	1	0.945	2.13	366	0	13	237	0	0.833	6	6	13	4	0	2
2	Spencer Martin	Husky (MTL)	7	2	4	1	0.927	2.98	423	1	21	286	1	0.875	8	7	0	3	1	0
Team Total or Average			13	5	6	2	0.935	2.58	790	1	34	523	1		14	13	13	7	1	2

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Akira Schmid	Husky (MTL)	G	25	2000-05-12	CHE	Yes	205 Lbs	6 ft5	No	No	Assign Manually		No	No	1	2026-03-08	False	False	Pro & Farm	1,025,000$	170,833$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Alexander Alexeyev	Husky (MTL)	D	25	1999-11-15	RUS	No	213 Lbs	6 ft4	No	No	Trade	2025-03-29	No	No	3	2026-03-08	False	False	Pro & Farm	950,000$	158,333$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Austin Strand	Husky (MTL)	D	28	1997-02-17	CAN	No	215 Lbs	6 ft3	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Brady Keeper	Husky (MTL)	D	28	1996-10-12	CAN	No	197 Lbs	6 ft2	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Cole Koepke	Husky (MTL)	LW	27	1998-05-17	USA	No	203 Lbs	6 ft1	No	No	Trade	2025-09-15	No	No	5	2026-03-08	False	False	Pro & Farm	1,000,000$	166,667$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Erik Gustafsson	Husky (MTL)	D	33	1992-03-14	SWE	No	189 Lbs	6 ft1	No	No	Trade	2026-01-04	No	No	1	2026-03-08	False	False	Pro & Farm	1,400,000$	233,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Henri Jokiharju	Husky (MTL)	D	26	1999-06-17	FIN	No	200 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-03-08	False	False	Pro & Farm	2,000,000$	333,333$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Jayden Halbgewachs	Husky (MTL)	LW	28	1997-03-22	CAN	No	160 Lbs	5 ft8	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Kaapo Kahkonen	Husky (MTL)	G	29	1996-08-16	FIN	No	217 Lbs	6 ft2	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	1,250,000$	208,333$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
MacKenzie MacEachern	Husky (MTL)	LW	31	1994-03-09	USA	No	193 Lbs	6 ft2	No	No	N/A		No	No	5	2026-03-08	False	False	Pro & Farm	850,000$	141,667$	0$	0$	No	850,000$	850,000$	850,000$	850,000$	-	-	-	-	-	850,000$	850,000$	850,000$	850,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Mads Sogaard	Husky (MTL)	G	24	2000-12-13	DNK	Yes	196 Lbs	6 ft7	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Marc Gatcomb	Husky (MTL)	RW	26	1999-07-22	CAN	Yes	195 Lbs	6 ft2	No	No	Draft		No	No	3	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Maxwell Crozier	Husky (MTL)	D	25	2000-04-19	CAN	Yes	197 Lbs	6 ft1	No	No	N/A		No	No	5	2026-03-08	False	False	Pro & Farm	1,000,000$	166,667$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Nicolas Meloche	Husky (MTL)	D	28	1997-07-18	CAN	No	211 Lbs	6 ft3	No	No	Trade	2025-04-02	No	No	4	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nikolay Goldobin	Husky (MTL)	RW	29	1995-10-07	RUS	No	196 Lbs	5 ft11	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Pierre Engvall	Husky (MTL)	RW	29	1996-05-31	SWE	No	215 Lbs	6 ft5	No	No	Assign Manually		No	No	5	2026-03-20	False	False	Pro & Farm	1,000,000$	166,667$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Ryan Winterton	Husky (MTL)	C	22	2003-09-04	CAN	Yes	175 Lbs	6 ft2	No	No	Trade	2026-01-17	No	No	5	2026-03-08	False	False	Pro & Farm	1,000,000$	166,667$	0$	0$	No	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Semyon Der-Arguchintsev	Husky (MTL)	C	25	2000-09-15	RUS	Yes	173 Lbs	5 ft10	No	No	N/A		No	No	5	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Spencer Martin	Husky (MTL)	G	30	1995-06-08	CAN	No	191 Lbs	6 ft3	No	No	Assign Manually		No	No	4	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Trent Miner	Husky (MTL)	G	24	2001-02-05	CAN	Yes	185 Lbs	6 ft1	No	No	Prospect		No	No	4	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Troy Stecher	Husky (MTL)	D	31	1994-04-07	CAN	No	184 Lbs	5 ft10	No	No	Waiver	2025-03-30	No	No	2	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Vasily Podkolzin	Husky (MTL)	LW	24	2001-06-24	RUS	No	190 Lbs	6 ft1	No	No	Trade	2026-01-06	No	No	3	2026-03-08	False	False	Pro & Farm	2,000,000$	333,333$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Victor Mete	Husky (MTL)	D	27	1998-06-07	CAN	No	187 Lbs	5 ft9	No	No	N/A		No	No	1	2026-03-08	False	False	Pro & Farm	850,000$	141,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	27.13	195 Lbs	6 ft1	3.43	1,022,826$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			25	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2				45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2			45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	RI
1	Bandits	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	7	11	0	0	87	76	50	12	38	732	734	694	56	99	27	20	44	7	2	28.57%	8	1	87.50%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
2	Barracudas	3	1	1	0	0	1	0	0	13	14	-1	2	1	1	0	0	0	0	0	9	9	0	1	0	0	0	0	1	0	0	4	5	-1	3	0.500	13	23	36	0	0	87	76	50	12	98	732	734	694	56	116	34	28	67	24	7	29.17%	14	3	78.57%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
3	Bayou	4	1	3	0	0	0	0	0	14	19	-5	2	1	1	0	0	0	0	0	9	8	1	2	0	2	0	0	0	0	0	5	11	-6	2	0.250	14	27	41	0	0	87	76	50	12	110	732	734	694	56	157	51	62	69	23	7	30.43%	14	2	85.71%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
4	Chiwawa	2	1	1	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	6	4	2	2	0.500	6	9	15	0	1	87	76	50	12	49	732	734	694	56	55	13	22	45	9	0	0.00%	9	1	88.89%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
5	CoolFm	3	1	2	0	0	0	0	0	11	12	-1	1	0	1	0	0	0	0	0	2	4	-2	2	1	1	0	0	0	0	0	9	8	1	2	0.333	11	22	33	0	0	87	76	50	12	81	732	734	694	56	113	37	22	70	13	2	15.38%	8	1	87.50%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
6	Farmers	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	14	22	0	0	87	76	50	12	64	732	734	694	56	60	19	21	42	10	3	30.00%	7	1	85.71%	1	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
7	Goons	2	1	1	0	0	0	0	0	4	8	-4	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	5	-5	2	0.500	4	7	11	0	0	87	76	50	12	70	732	734	694	56	54	19	20	62	6	1	16.67%	10	1	90.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
8	Grizzlies	3	1	1	0	0	0	1	0	15	15	0	1	1	0	0	0	0	0	0	7	6	1	2	0	1	0	0	0	1	0	8	9	-1	4	0.667	15	28	43	1	0	87	76	50	12	117	732	734	694	56	118	41	28	73	20	5	25.00%	12	4	66.67%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
9	Hunters	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	6	9	15	0	0	87	76	50	12	40	732	734	694	56	98	25	18	44	9	0	0.00%	7	2	71.43%	1	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
10	Igloos	3	0	1	0	2	0	0	0	12	11	1	1	0	1	0	0	0	0	0	3	4	-1	2	0	0	0	2	0	0	0	9	7	2	4	0.667	12	23	35	0	0	87	76	50	12	102	732	734	694	56	112	25	28	81	14	2	14.29%	12	1	91.67%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
11	Marlies	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	7	11	0	0	87	76	50	12	33	732	734	694	56	90	22	12	39	11	1	9.09%	5	1	80.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
12	Marmots	3	1	1	0	0	1	0	0	10	12	-2	2	1	0	0	0	1	0	0	7	6	1	1	0	1	0	0	0	0	0	3	6	-3	3	0.500	10	19	29	0	0	87	76	50	12	116	732	734	694	56	64	16	31	63	19	3	15.79%	12	5	58.33%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
13	Outlaws	3	0	0	0	1	2	0	0	12	13	-1	1	0	0	0	0	1	0	0	3	4	-1	2	0	0	0	1	1	0	0	9	9	0	4	0.667	12	21	33	0	0	87	76	50	12	102	732	734	694	56	132	41	32	76	23	5	21.74%	13	3	76.92%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
14	Predateurs	2	1	0	0	0	1	0	0	6	5	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	10	16	0	0	87	76	50	12	69	732	734	694	56	85	14	11	41	14	3	21.43%	1	0	100.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
15	Raptors	2	0	1	0	0	0	1	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	1	0	3	5	-2	2	0.500	3	4	7	0	0	87	76	50	12	40	732	734	694	56	71	27	20	50	7	1	14.29%	9	3	66.67%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
16	Rockets	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	7	14	21	0	0	87	76	50	12	43	732	734	694	56	73	28	20	38	9	3	33.33%	10	2	80.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
17	Sags	3	0	2	0	0	0	1	0	7	10	-3	2	0	1	0	0	0	1	0	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	7	11	18	0	0	87	76	50	12	78	732	734	694	56	97	29	36	58	18	4	22.22%	18	5	72.22%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
18	Scorpions	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	87	76	50	12	67	732	734	694	56	54	19	18	57	3	0	0.00%	9	2	77.78%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
19	Smirnoff Ice	2	1	0	0	0	0	0	1	6	4	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	6	12	18	0	0	87	76	50	12	48	732	734	694	56	67	18	35	52	2	0	0.00%	10	0	100.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
20	Snowbirds	3	1	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.333	6	12	18	0	0	87	76	50	12	97	732	734	694	56	120	29	27	61	7	2	28.57%	10	0	100.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
21	Spartans	3	0	3	0	0	0	0	0	7	11	-4	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	5	8	-3	0	0.000	7	13	20	0	0	87	76	50	12	81	732	734	694	56	120	27	28	81	17	2	11.76%	11	3	72.73%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
22	Supreme	3	0	3	0	0	0	0	0	2	12	-10	1	0	1	0	0	0	0	0	0	3	-3	2	0	2	0	0	0	0	0	2	9	-7	0	0.000	2	3	5	0	0	87	76	50	12	85	732	734	694	56	121	21	36	57	17	1	5.88%	16	1	93.75%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
23	Thugs	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	10	15	0	0	87	76	50	12	43	732	734	694	56	80	21	14	35	5	2	40.00%	6	0	100.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
24	TigersCats	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	87	76	50	12	30	732	734	694	56	45	9	16	21	4	1	25.00%	8	1	87.50%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
25	Twins	2	1	0	0	1	0	0	0	8	5	3	2	1	0	0	1	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	8	16	24	0	0	87	76	50	12	61	732	734	694	56	90	24	24	48	9	0	0.00%	10	1	90.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
26	Vandals	3	3	0	0	0	0	0	0	12	5	7	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	2	4	6	1.000	12	22	34	0	0	87	76	50	12	102	732	734	694	56	63	17	26	68	8	1	12.50%	11	1	90.91%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
27	Vipers	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	12	18	0	0	87	76	50	12	82	732	734	694	56	59	9	23	67	15	1	6.67%	9	2	77.78%	1	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
28	Warriors	2	1	0	0	1	0	0	0	6	4	2	1	0	0	0	1	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	6	12	18	0	0	87	76	50	12	68	732	734	694	56	43	16	22	47	3	0	0.00%	5	0	100.00%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
29	Wolves	3	2	0	0	0	1	0	0	11	10	1	2	2	0	0	0	0	0	0	8	6	2	1	0	0	0	0	1	0	0	3	4	-1	5	0.833	11	21	32	0	0	87	76	50	12	116	732	734	694	56	118	21	39	61	17	4	23.53%	11	1	90.91%	0	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
30	Xpress	2	1	0	0	0	1	0	0	5	4	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	5	10	15	0	0	87	76	50	12	55	732	734	694	56	87	28	12	45	11	2	18.18%	6	1	83.33%	1	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
	Total	73	25	31	0	5	7	3	2	221	243	-22	36	16	13	0	2	3	1	1	111	106	5	37	9	18	0	3	4	2	1	110	137	-27	75	0.514	221	407	628	1	1	87	76	50	12	2185	732	734	694	56	2661	727	751	1662	354	65	18.36%	291	49	83.16%	4	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
	_Since Last GM Reset	73	25	31	0	5	7	3	2	221	243	-22	36	16	13	0	2	3	1	1	111	106	5	37	9	18	0	3	4	2	1	110	137	-27	75	0.514	221	407	628	1	1	87	76	50	12	2185	732	734	694	56	2661	727	751	1662	354	65	18.36%	291	49	83.16%	4	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
	_Vs Conference	31	11	12	0	3	2	1	2	100	106	-6	15	8	4	0	1	1	0	1	50	41	9	16	3	8	0	2	1	1	1	50	65	-15	34	0.548	100	188	288	1	0	87	76	50	12	905	732	734	694	56	1123	330	305	721	138	25	18.12%	120	21	82.50%	3	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432
	_Vs Division	14	4	7	0	2	1	0	0	42	50	-8	6	3	3	0	0	0	0	0	18	18	0	8	1	4	0	2	1	0	0	24	32	-8	13	0.464	42	78	120	0	0	87	76	50	12	386	732	734	694	56	563	161	120	346	60	9	15.00%	51	7	86.27%	2	1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%	1734	1224	1831	520	869	432

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
73	75	W1	221	407	628	2185	2661	727	751	1662	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
73	25	31	5	7	3	2	221	243

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	16	13	2	3	1	1	111	106

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	9	18	3	4	2	1	110	137

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	2	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
354	65	18.36%	291	49	83.16%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
732	734	694	56	87	76	50	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1085	2434	44.58%	1230	2646	46.49%	535	1138	47.01%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1734	1224	1831	520	869	432

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	4	Twins	2	Husky	3	W	X		Box score
2	25	Husky	1	Raptors	4	L			Box score
4	42	Wolves	2	Husky	3	W			Box score
5	57	Husky	3	Bayou	5	L			Box score
6	72	Scorpions	2	Husky	0	L			Box score
7	88	Husky	3	Thugs	2	W			Box score
9	102	Sags	3	Husky	1	L			Box score
11	127	Marmots	4	Husky	3	L	X		Box score
13	147	Husky	0	Supreme	6	L			Box score
14	158	Husky	4	Grizzlies	3	W	X	X	Box score
15	170	Bayou	5	Husky	3	L			Box score
16	188	Barracudas	2	Husky	5	W			Box score
17	201	Husky	3	Spartans	4	L			Box score
18	219	Smirnoff Ice	1	Husky	4	W			Box score
19	227	Husky	4	CoolFm	2	W			Box score
21	250	Snowbirds	5	Husky	2	L			Box score
22	253	Husky	2	Chiwawa	4	L			Box score
23	277	Husky	2	Bayou	6	L			Box score
24	292	Sags	4	Husky	5	W	X	X	Box score
25	306	Husky	1	Sags	3	L			Box score
27	321	Snowbirds	2	Husky	1	L			Box score
28	333	Husky	2	Supreme	3	L			Box score
29	352	Farmers	3	Husky	5	W			Box score
31	375	Spartans	3	Husky	2	L			Box score
32	391	Husky	3	Scorpions	5	L			Box score
34	405	Igloos	4	Husky	3	L			Box score
35	424	Husky	4	Igloos	3	W	X		Box score
36	439	TigersCats	3	Husky	2	L	X	X	Box score
37	458	Barracudas	7	Husky	4	L			Box score
39	468	Husky	4	Grizzlies	6	L			Box score
40	488	Husky	2	Smirnoff Ice	3	L	X	X	Box score
41	498	Husky	4	Chiwawa	0	W			Box score
42	508	Marlies	2	Husky	1	L			Box score
43	525	Husky	3	Farmers	1	W			Box score
44	541	Predateurs	3	Husky	2	L	X		Box score
45	562	Rockets	1	Husky	4	W			Box score
46	571	Husky	2	Raptors	1	W	X	X	Box score
47	593	Warriors	1	Husky	2	W	X		Box score
48	608	Husky	3	Wolves	4	L	X		Box score
49	622	Husky	2	Spartans	4	L			Box score
50	631	Bayou	3	Husky	6	W			Box score
52	653	Vandals	2	Husky	4	W			Box score
53	665	Husky	4	Warriors	3	W			Box score
54	681	Husky	0	Goons	5	L			Box score
55	693	Wolves	4	Husky	5	W			Box score
56	711	Husky	3	Vipers	2	W			Box score
57	722	Twins	3	Husky	5	W			Box score
58	738	Husky	3	Hunters	6	L			Box score
59	753	Hunters	1	Husky	3	W			Box score
60	764	Husky	3	Marlies	5	L			Box score
62	785	CoolFm	4	Husky	2	L			Box score
63	800	Husky	1	Bandits	3	L			Box score
64	814	Husky	3	Rockets	6	L			Box score
65	820	Husky	4	Predateurs	2	W			Box score
66	831	Thugs	3	Husky	2	L			Box score
68	853	Bandits	5	Husky	3	L			Box score
69	873	Husky	3	Snowbirds	1	W			Box score
70	882	Husky	4	Outlaws	5	L	X		Box score
71	894	Supreme	3	Husky	0	L			Box score
73	913	Xpress	1	Husky	3	W			Box score
74	929	Husky	4	Barracudas	5	L	X		Box score
76	947	Vandals	1	Husky	2	W			Box score
77	954	Husky	2	Xpress	3	L	X		Box score
78	967	Husky	6	Vandals	2	W			Box score
79	982	Outlaws	4	Husky	3	L	X		Box score
80	1003	Husky	5	Igloos	4	W	X		Box score
81	1018	Vipers	2	Husky	3	W			Box score
83	1037	Husky	3	Marmots	6	L			Box score
84	1046	Grizzlies	6	Husky	7	W			Box score
86	1069	Husky	5	Outlaws	4	W	X		Box score
87	1080	Marmots	2	Husky	4	W			Box score
89	1095	Husky	5	CoolFm	6	L			Box score
90	1109	Goons	3	Husky	4	W			Box score
92	1136	Chiwawa	-	Husky	-
93	1144	Husky	-	Predateurs	-
Trade Deadline --- Trades can’t be done after this day is simulated!
94	1150	Husky	-	Thugs	-
95	1168	Husky	-	Twins	-
96	1176	Vipers	-	Husky	-
98	1201	Goons	-	Husky	-
102	1225	Husky	-	TigersCats	-
103	1238	Scorpions	-	Husky	-
107	1256	Raptors	-	Husky	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	71,823	35,957
Attendance PCT	99.75%	99.88%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
5	2994 - 99.80%	101,772$	3,663,792$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,825,634$	2,352,500$	2,352,500$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,979,464$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
508,860$	18	31,042$	558,756$

Husky Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Husky Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Husky Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Husky Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Husky Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Husky
	GP: 73 \| W: 33 \| L: 31 \| OTL: 9 \| P: 75 GF: 221 \| GA: 243 \| PP%: 18.36% \| PK%: 83.16% GM : René-Karl Poirier \| Morale : 90 \| Team Overall : 59 Next Games #1136 vs Chiwawa